Effect of raw material particle size on XRF analysis for process control of iron ore sinter.

1988 ◽  
Vol 37 (11) ◽  
pp. 607-611
Author(s):  
Kazumi MIZUKAMI ◽  
Shigeo KASAI ◽  
Naoki KASAI ◽  
Kazuhiko AMAKAWA
Keyword(s):  
Particle Size ◽  
Process Control ◽  
Iron Ore ◽  
Raw Material ◽  
Material Particle ◽  
Xrf Analysis ◽  
Iron Ore Sinter

Structural Evolution of Natural Flake Graphite with Different Particle Sizes during the Intercalation and Exfoliation Processes

2011 ◽  
Vol 80-81 ◽  
pp. 221-224
Author(s):  
Xue Qing Yue ◽  
Yan Lu ◽  
Dong Hua Lu
Keyword(s):  
Particle Size ◽  
Graphite Particle ◽  
Structural Evolution ◽  
Intercalation Compounds ◽  
Raw Material ◽  
Particle Sizes ◽  
Flake Graphite ◽  
Material Particle ◽  
Graphite Intercalation ◽  
Reaction Degree

In order to investigate the structural evolution of natural flake graphite with different particle sizes during the intercalation and exfoliation process, we used three natural graphites, 35, 50 and 80 mesh, as the raw material and investigated the characteristics of the three chemically prepared graphite intercalation compounds (GICs) of H2SO4 and the three corresponding residue GICs (RGICs). Expanded graphites (EGs) were prepared by rapidly heating the RGICs to 1000 °C in a muffle. The Results show that with decreasing the raw graphite particle size, the oxidizing reaction degree of GIC increases, but the intercalating reaction degree decreases. For RGICs, the relative ratio of RGIC phase in a sample decreases with decreasing the raw material particle size. In addition, decreasing the raw graphite particle size decreases the expanded volume of EG.

Combustion Synthesis of β-SiAlON Using 3D Ball Milling

2017 ◽  
Vol 898 ◽  
pp. 1717-1723 ◽  
Author(s):  
Xue Mei Yi ◽  
Shota Suzuki ◽  
Xiong Zhang Liu ◽  
Ran Guo ◽  
Tomohiro Akiyama
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Combustion Synthesis ◽  
Ball Mill ◽  
Raw Materials ◽  
Raw Material ◽  
Size Distributions ◽  
Particle Size Distributions ◽  
Material Particle

Combustion synthesis (CS) of β-SiAlON was conducted using a 3D ball mill, with a focus on the effect of the 2D/3D ball mill premixing conditions on the CS raw material particle size as well as on the yield and grain shape of the final products. The results showed that the particle size distribution of the raw materials was significantly affected by the premixing conditions. Various particle sizes and particle size distributions could easily be obtained by using a 3D mill instead of a 2D mill due to the complex biaxial rotation movement of 3D milling. The particle size was more sensitive to the rotation ratio (vertical spin/horizontal spin, Vv/Vh) than the rotation rate when using 3D milling. Finally, β-SiAlON with less than 5 mass% unreacted Si was obtained using premix milling conditions of 135×200 [vertical spin (rpm) × horizontal spin (rpm)]. The grain shapes of the final products were clearly influenced by the particle size distribution of the raw mixtures.

Effects of raw material particle size distribution on the characteristics of Scots pine sawdust fuel pellets

2008 ◽  
Vol 89 (12) ◽  
pp. 1324-1329 ◽  
Author(s):  
Dan Bergström ◽  
Samuel Israelsson ◽  
Marcus Öhman ◽  
Sten-Axel Dahlqvist ◽  
Rolf Gref ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Scots Pine ◽  
Raw Material ◽  
Material Particle ◽  
Pine Sawdust ◽  
Fuel Pellets

Influence of raw material particle size on quality of pellets

2008 ◽  
Vol 35 (5) ◽  
pp. 327-337 ◽  
Author(s):  
T. Umadevi ◽  
M. G. Sampath Kumar ◽  
Suresh Kumar ◽  
C. S. Gururaj Prasad ◽  
M. Ranjan
Keyword(s):  
Particle Size ◽  
Raw Material ◽  
Material Particle

Influence of limestone particle size on iron ore sinter properties and productivity

2010 ◽  
Vol 81 (6) ◽  
pp. 419-425 ◽  
Author(s):  
T. Umadevi ◽  
U.K. Bandopadhyay ◽  
P.C. Mahapatra ◽  
M. Prabhu ◽  
Madhu Ranjan
Keyword(s):  
Particle Size ◽  
Iron Ore ◽  
Iron Ore Sinter

Predicting iron ore sinter strength through partial least square regression (PLSR) analysis of X-ray diffraction patterns

2017 ◽  
Vol 32 (S2) ◽  
pp. S66-S69
Author(s):  
Nathan A.S. Webster ◽  
Mark I. Pownceby ◽  
Natalie Ware ◽  
Rachel Pattel
Keyword(s):  
Process Control ◽  
Iron Ore ◽  
Partial Least Square ◽  
Least Square ◽  
Process Conditions ◽  
X Ray Diffraction ◽  
X Ray ◽  
Sinter Strength ◽  
Iron Ore Sinter

The decrease in quality of Australian iron ore, coupled with the demand for more efficient energy use, means that closer monitoring and optimisation of process conditions for iron ore sinter production is required. Here, the suitability of using partial least-squares regression analysis of powder X-ray diffraction data, collected for iron ore sinter samples, for the prediction of iron ore sinter strength has been further assessed. In addition, a preliminary assessment of the effect of 2θ range on the quality of prediction has been made. For the purposes of process control, the level of correlation between predicted strength and actual sinter strength would inform an operator whether or not the process was operating within the acceptable limits, or whether there was a potential problem requiring further investigation or rapid intervention. Reducing the 2θ range was found to reduce the level of correlation between predicted and actual strength, to a point where the particular analysis may no longer be suitable for process control.

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